Modeling job rotation in manufacturing systems: The study of employee's boredom and skill variations

Nader Azizi, Saeed Zolfaghari*, Ming Liang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a methodology for job rotation in manufacturing systems that aims to ease employee's boredom and exploit the effect of rotation intervals on worker's skill learning and forgetting. To this end, a series of formulations are proposed to measure employee's boredom and skill variations during a production horizon. Based on the proposed formulations, a mathematical programming model for job rotation is developed, and a numerical example is provided to illustrate its applications. Furthermore, based on a generic framework of the SAMED metaheuristic, a search algorithm, SAMED-JR, is tailored to solve the proposed model for large scale problems. (C) 2009 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)69-85
Number of pages17
JournalInternational Journal of Production Economics
Volume123
Issue number1
DOIs
Publication statusPublished - Jan 2010

Keywords

  • job rotation
  • boredom
  • manufacturing
  • search algorithm
  • worker assignment
  • learning-curve
  • productivity
  • flexibility
  • allocation
  • schedules
  • proneness
  • breaks
  • task

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